* Copyright (c) 2026 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
* \file sparse_reshape_proto.h
* \brief Operator registration for SparseReshape
*/
#ifndef OPS_PROTO_DEF_SPARSERESHAPE
#define OPS_PROTO_DEF_SPARSERESHAPE
#include "graph/operator_reg.h"
namespace ge {
*@brief Reshapes a sparse tensor from input shape to output shape.
*@par Inputs:
*Three inputs, including:
* @li indices: A 2D Tensor. Must be one of the following types: int32, int64. Shape [nnz, input_rank].
* @li shape: A 1D Tensor. Must be one of the following types: int32, int64. Shape [input_rank].
* @li new_shape: A 1D Tensor. Must be one of the following types: int32, int64. Shape [output_rank].
*
*@par Outputs:
*Two outputs, including:
* @li y_indices: A 2D Tensor. Must be one of the following types: int32, int64. Shape [nnz, output_rank].
* @li y_shape: A 1D Tensor. Must be one of the following types: int32, int64. Shape [output_rank].
*
*@par Third-party framework compatibility
*Compatible with the TensorFlow operator SparseReshape.
*/
REG_OP(SparseReshape)
.INPUT(indices, TensorType({DT_INT32, DT_INT64}))
.INPUT(shape, TensorType({DT_INT32, DT_INT64}))
.INPUT(new_shape, TensorType({DT_INT32, DT_INT64}))
.OUTPUT(y_indices, TensorType({DT_INT32, DT_INT64}))
.OUTPUT(y_shape, TensorType({DT_INT32, DT_INT64}))
.OP_END_FACTORY_REG(SparseReshape)
}
#endif
